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From "Arun C Murthy (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (MAPREDUCE-4049) plugin for generic shuffle service
Date Sun, 14 Oct 2012 18:49:06 GMT

     [ https://issues.apache.org/jira/browse/MAPREDUCE-4049?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Arun C Murthy updated MAPREDUCE-4049:
-------------------------------------

    Status: Open  (was: Patch Available)

Avner - the patch looks reasonable - sorry, it took me so long to get around to it. I've been
very busy with stabilizing & deploying YARN.

Some minor comments:
# I'd ask you to you update the design doc with your latest approach, ideally also provide
it as documentation patch to be checked in.
# I'd add a 'context' object to the consumer's init function rather than have 10+ input variables.
                
> plugin for generic shuffle service
> ----------------------------------
>
>                 Key: MAPREDUCE-4049
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-4049
>             Project: Hadoop Map/Reduce
>          Issue Type: Improvement
>          Components: performance, task, tasktracker
>    Affects Versions: 2.0.0-alpha, 1.0.3, 1.1.0, 3.0.0
>            Reporter: Avner BenHanoch
>              Labels: merge, plugin, rdma, shuffle
>         Attachments: HADOOP-1.x.y.patch, Hadoop Shuffle Consumer Plugin TLD.rtf, Hadoop
Shuffle Provider Plugin TLD.rtf, mapred-site.xml, mapreduce-4049.patch, mapreduce-4049.patch
>
>
> Support generic shuffle service as set of two plugins: ShuffleProvider & ShuffleConsumer.
> This will satisfy the following needs:
> # Better shuffle and merge performance. For example: we are working on shuffle plugin
that performs shuffle over RDMA in fast networks (10gE, 40gE, or Infiniband) instead of using
the current HTTP shuffle. Based on the fast RDMA shuffle, the plugin can also utilize a suitable
merge approach during the intermediate merges. Hence, getting much better performance.
> # Satisfy MAPREDUCE-3060 - generic shuffle service for avoiding hidden dependency of
NodeManager with a specific version of mapreduce shuffle (currently targeted to 0.24.0).
> References:
> # Hadoop Acceleration through Network Levitated Merging, by Prof. Weikuan Yu from Auburn
University with others, [http://pasl.eng.auburn.edu/pubs/sc11-netlev.pdf]
> # I am attaching 2 documents with suggested Top Level Design for both plugins (currently,
based on 1.0 branch)

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